PPARGC1A

Mutation & survival
SurvivalMutationKaplan–Meier · TCGA cohorts

Across TCGA pan-cancer cohorts, PPARGC1A Mutation is linked to patient survival in 11 of 34 cancer types, making it a survival-associated PPARGC1A data layer compared with 28 for mass-spec protein.

The strongest signal is observed in adrenocortical carcinoma (ACC), where higher PPARGC1A Mutation is associated with worse disease-free survival. In most high-consensus cancer types, elevated PPARGC1A expression acts as an unfavorable survival marker, although some lineages such as UCEC show a favorable association.

ACC, THYM, and LUSC are the cancer types where PPARGC1A Mutation most reproducibly stratifies survival.

Mutation survival associations by lineage

Ranked by sampling consensus. AUC1 and AUC2 indicate survival in the high- and low-expression groups, respectively; the lower AUC marks the poorer-surviving group. p-values are from the log-rank test.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.0460.753<.00136view →
THYMOSMedianAll0.0680.977<.00124view →
LUSCDFSMedianII,III,IV0.0790.750<.00117view →
SARCOSMedianAll0.1080.827<.00112view →
BRCAOSMedianII,III,IV0.2380.567.02010view →
SKCMOSMedianIV0.1790.755<.0019view →
PRADDFSMedianAll0.4480.888<.0018view →
BLCADFSMedianIII,IV0.0740.495<.0016view →
COADDFSMedianIII,IV0.2000.570.0036view →
UCECDFSMedianAll0.9320.827.0354view →
ESCADFSMedianAll0.2140.537.0203view →
Pink = unfavorable, green = favorable. Showing the 11 strongest of 11 lineages.

PPARGC1A–ACC (DFS)

Kaplan–Meier survival curve for PPARGC1A mutant vs wild-type samples in ACC.

Open the ACC breakdown →

Exploration